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The date is set. Introducing JioBlackRock Flexi Cap Fund — India’s first active equity fund powered by Systematic Active Equity* (SAE). Systematic Active Equity is BlackRock’s proprietary investment approach that processes the signals into actionable investment opportunities. Where AI meets human expertise, and traditional + alternate data come together...

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JioBlackRock Mutual Fund

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28,318 views • 1 year ago •via X (Twitter)

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11,094 views • 1 year ago

Astra Nova is part of the Sanabil Startup Unlocked by 500 Global ! ✨ We’re excited to be welcomed in the inaugural batch that includes founders building in Web3 and beyond! 🔥 Dedicated to fueling innovation and supporting high-growth ventures, Sanabil is a financial investment company, wholly owned by the Public Investment Fund (PIF), that commits more than USD 3 billion in capital per annum into global private investments that include venture capital and growth opportunities. 500 Global is a multi-stage venture capital firm managing $2.4 billion in assets. They invest in founders creating rapidly growing technology companies, with a focus on markets where technology, innovation, and capital can generate long-term value and foster economic growth. More huge announcements coming soon as we close this year and welcome another big year to continue building. 🚀
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Astra Nova

101,424 views • 1 year ago

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Trading 212 now has a voice, and it's pretty smart 🤖 Stay up to date with our brand-new AI analysis tool. This latest feature uses OpenAI to analyse raw market data in real time and transforms it into a smart summary, available instantly to read or listen 🎧 The data is updated multiple times a day and takes various factors into consideration to provide you with a summary of the current sentiment, market trends, and fundamentals. Currently available only for selected stocks. The data is generated by an AI automated tool. It does not reflect human opinions and should not be considered professional advice. AI analysis is experimental, and Trading 212 does not guarantee its accuracy. Not investment, legal, or tax advice. Do your own research or consult a qualified advisor.

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A Letter to Our Community: The Road Ahead for Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷
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Axis Robotics

28,096 views • 8 months ago

Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.
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Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Markie Wagner

1,381,913 views • 3 months ago

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:
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Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,605 views • 1 month ago

HiveMind is a superintelligent network in which a central AI (MIND) orchestrates a swarm of uniquely coded Minds that drive mass data ingestion and limitless content creation. For decades, our approach has been to create content first, then analyze it into data afterwards to understand what worked. This was always backwards - analyzing the aftermath rather than engineering the success from the start. Traditional Flow: Content → Data Analysis → Insights Content isn't one-size-fits-all - a cooking show that captivates a senior audience on YouTube might bore a teenager who craves quick, dynamic experiences. The challenge isn't just creating content; it's creating the right content for the right audience. We need to change this. This is where HiveMind's specialized agents transform the landscape. Each agent, while connected to the central MIND, excels in its unique domain. One agent masters the art of children's educational content, while another crafts compelling cooking narratives. Another might specialize in rapid-fire social content that resonates with Gen Z. Through HiveMind, every piece of content generated becomes new data that teaches the system to create even better content. The system gets smarter with every cycle, understanding at an increasingly sophisticated level what makes content effective and engaging. But the true power lies in the feedback loop. Every interaction, every engagement, flows back to MIND, enabling each agent to evolve and refine its approach. This isn't just content creation - it's content evolution. As audiences engage, agents learn, adapt, and improve, making each new piece more effective than the last. In essence, we're not just building content creators; we're developing specialized digital artists who understand their audience intimately and grow smarter with every creation. You can think of it this way: Data → Pattern Recognition → Optimized Content → Engagement Data → Even Better Content Tzar
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HiveMind is a superintelligent network in which a central AI (MIND) orchestrates a swarm of uniquely coded Minds that drive mass data ingestion and limitless content creation. For decades, our approach has been to create content first, then analyze it into data afterwards to understand what worked. This was always backwards - analyzing the aftermath rather than engineering the success from the start. Traditional Flow: Content → Data Analysis → Insights Content isn't one-size-fits-all - a cooking show that captivates a senior audience on YouTube might bore a teenager who craves quick, dynamic experiences. The challenge isn't just creating content; it's creating the right content for the right audience. We need to change this. This is where HiveMind's specialized agents transform the landscape. Each agent, while connected to the central MIND, excels in its unique domain. One agent masters the art of children's educational content, while another crafts compelling cooking narratives. Another might specialize in rapid-fire social content that resonates with Gen Z. Through HiveMind, every piece of content generated becomes new data that teaches the system to create even better content. The system gets smarter with every cycle, understanding at an increasingly sophisticated level what makes content effective and engaging. But the true power lies in the feedback loop. Every interaction, every engagement, flows back to MIND, enabling each agent to evolve and refine its approach. This isn't just content creation - it's content evolution. As audiences engage, agents learn, adapt, and improve, making each new piece more effective than the last. In essence, we're not just building content creators; we're developing specialized digital artists who understand their audience intimately and grow smarter with every creation. You can think of it this way: Data → Pattern Recognition → Optimized Content → Engagement Data → Even Better Content Tzar

Tzar

26,190 views • 1 year ago

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.
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🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

TheNewPhysics

23,196 views • 3 months ago

🎮 What is an Esports League? Online gaming has been around for years, but esports takes it to a whole new level. It’s not just about playing video games—it’s about competitive gaming where skilled players, known as esports athletes, come together to test their mechanics, strategy, and teamwork in a structured and high-stakes environment. An esports league is an organized competition where teams compete regularly across seasons or tournaments, creating opportunities for recognition, rivalry, and growth in the gaming scene. At Arena of Faith, our vision is clear: To become one of the leading esports titles in the Web3 space. We’re committed to that future — slowly but surely, building the foundation for a competitive ecosystem where players, creators, and communities can thrive. But reaching this goal requires more than just a team—it takes unity. That’s the reason why we’ve embraced a multi-chain approach—to cater to diverse communities, ecosystems, and players across different networks. Being multi-chain allows us to build a more inclusive, collaborative, and far-reaching foundation for the future of Web3 esports. We can't do this without the support of our partners, future collaborators, and our amazing community. We’re all in this together. Let’s build the future of Web3 esports—together. This isn’t just ambition—it’s a revolution in motion. #ArenaofFaith #AOF #MOBA #Web3Gaming #Web3Esports #Web3MOBA $ACP
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🎮 What is an Esports League? Online gaming has been around for years, but esports takes it to a whole new level. It’s not just about playing video games—it’s about competitive gaming where skilled players, known as esports athletes, come together to test their mechanics, strategy, and teamwork in a structured and high-stakes environment. An esports league is an organized competition where teams compete regularly across seasons or tournaments, creating opportunities for recognition, rivalry, and growth in the gaming scene. At Arena of Faith, our vision is clear: To become one of the leading esports titles in the Web3 space. We’re committed to that future — slowly but surely, building the foundation for a competitive ecosystem where players, creators, and communities can thrive. But reaching this goal requires more than just a team—it takes unity. That’s the reason why we’ve embraced a multi-chain approach—to cater to diverse communities, ecosystems, and players across different networks. Being multi-chain allows us to build a more inclusive, collaborative, and far-reaching foundation for the future of Web3 esports. We can't do this without the support of our partners, future collaborators, and our amazing community. We’re all in this together. Let’s build the future of Web3 esports—together. This isn’t just ambition—it’s a revolution in motion. #ArenaofFaith #AOF #MOBA #Web3Gaming #Web3Esports #Web3MOBA $ACP

Arena of Faith

49,974 views • 1 year ago

Timeframe matters a lot, but over the past 6h, $moo finally passed that 40% watermark for total $MU vol on Robinhood Crypto And happy to see many more 🐄🐄🐄joined the holder base $MU is in an interesting spot as a tokenized stock. The real equity stock has huge volume and liquidity in TradFi, but compared with other popular tokenized tech stocks, its onchain liquidity is really really thin, which is actually part of the reason why the memory cow has been obsessed with the idea of moving equity market by onchain volatilities. You need a couple of things to achieve this: - High attention in equity market - Easy to pitch narrative to onchain natives - A very skewed liquidity&volume onchain vs. offchain $MU ticks all the boxes: - Memory is THE bottleneck for AI advancement and is in SEVERE shortage all the way through the next 1.5 to 2 decades. Micron Technology is the only American player that can take a dominant stance in global memory chip market, and also is the most USA🇺🇸 aligned company, proven by their massive $250B investment plan in America ($10B in Idaho already), and the recent praise from Donald J. Trump and The White House - Onchain has just had a taste of stock pairing, and the narrative is obviously working. Also, $MU -> moo, come on, it's funny and cute as hell🐮 - $MU has the least amount of onchain liquidity and volume among popular tech stocks, which means now there is an great opportunity to do the funniest thing Anyways, sorry for the rambling Plan stays the same Memory Supercye Moo that
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Timeframe matters a lot, but over the past 6h, $moo finally passed that 40% watermark for total $MU vol on Robinhood Crypto And happy to see many more 🐄🐄🐄joined the holder base $MU is in an interesting spot as a tokenized stock. The real equity stock has huge volume and liquidity in TradFi, but compared with other popular tokenized tech stocks, its onchain liquidity is really really thin, which is actually part of the reason why the memory cow has been obsessed with the idea of moving equity market by onchain volatilities. You need a couple of things to achieve this: - High attention in equity market - Easy to pitch narrative to onchain natives - A very skewed liquidity&volume onchain vs. offchain $MU ticks all the boxes: - Memory is THE bottleneck for AI advancement and is in SEVERE shortage all the way through the next 1.5 to 2 decades. Micron Technology is the only American player that can take a dominant stance in global memory chip market, and also is the most USA🇺🇸 aligned company, proven by their massive $250B investment plan in America ($10B in Idaho already), and the recent praise from Donald J. Trump and The White House - Onchain has just had a taste of stock pairing, and the narrative is obviously working. Also, $MU -> moo, come on, it's funny and cute as hell🐮 - $MU has the least amount of onchain liquidity and volume among popular tech stocks, which means now there is an great opportunity to do the funniest thing Anyways, sorry for the rambling Plan stays the same Memory Supercye Moo that

the memory cow

22,995 views • 23 days ago

🚨 NOW: President Trump STUNS the experts by confirming a whopping $10 billion investment into America from Micron Another economic W! 🇺🇸 "GREAT NEWS! Micron, one of the “HOTTEST” Companies in the World, just announced a MASSIVE 10 BILLION DOLLAR Investment in new Research Labs right here in America. They are keeping us at the absolute forefront of A.I. and Advanced Computing! 🇺🇸 Combined with their previous TREMENDOUS 250 BILLION DOLLAR commitment, they are creating over tens of thousands of Great American Jobs. We are bringing Critical Technologies BACK to the U.S.A. Because of our Great Policies, Companies are investing TRILLIONS. I have made it clear that America will lead the way to a new Golden Age of Science. The results speak for themselves: During my Administration, Companies are investing TRILLIONS of Dollars because they know the United States is the best place in the World to Build, Invent, and Grow. Congratulations to Micron's fantastic CEO, Sanjay Mehrotra. We are strengthening our Economy and WINNING BIG! The Golden Age of America is HERE. MAGA!"
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🚨 NOW: President Trump STUNS the experts by confirming a whopping $10 billion investment into America from Micron Another economic W! 🇺🇸 "GREAT NEWS! Micron, one of the “HOTTEST” Companies in the World, just announced a MASSIVE 10 BILLION DOLLAR Investment in new Research Labs right here in America. They are keeping us at the absolute forefront of A.I. and Advanced Computing! 🇺🇸 Combined with their previous TREMENDOUS 250 BILLION DOLLAR commitment, they are creating over tens of thousands of Great American Jobs. We are bringing Critical Technologies BACK to the U.S.A. Because of our Great Policies, Companies are investing TRILLIONS. I have made it clear that America will lead the way to a new Golden Age of Science. The results speak for themselves: During my Administration, Companies are investing TRILLIONS of Dollars because they know the United States is the best place in the World to Build, Invent, and Grow. Congratulations to Micron's fantastic CEO, Sanjay Mehrotra. We are strengthening our Economy and WINNING BIG! The Golden Age of America is HERE. MAGA!"

Eric Daugherty

37,026 views • 26 days ago

What does market conviction look like? A $350M raise at a $7.5B valuation. Today, we have closed that $350M round and nearly doubled our valuation, all backed by Vitruvian Partners, Accenture Ventures, J.P. Morgan Growth Equity Partners, D. E. Shaw Ventures, Pinegrove Opportunity Partners, and our returning investors CapitalG, Goldman Sachs Alternatives, and Viking Global Investors. Doubling down on their investment, we have also established a new channel partnership with Accenture to further fuel organizations embedding and scaling market intelligence into their core agentic workflows. The era of fragmented tools in market intelligence has given way to a more integrated approach with the advent of AI and that's why we are also announcing the launch of SuperAnalyst. AI prompts and queries are the workflow most analysts know today but now multi-step research and monitoring tasks can be automated on the user's behalf. These announcements are more than just momentous milestones: they are an inflection point for the future of market intelligence. We couldn't be more excited to keep building it.
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What does market conviction look like? A $350M raise at a $7.5B valuation. Today, we have closed that $350M round and nearly doubled our valuation, all backed by Vitruvian Partners, Accenture Ventures, J.P. Morgan Growth Equity Partners, D. E. Shaw Ventures, Pinegrove Opportunity Partners, and our returning investors CapitalG, Goldman Sachs Alternatives, and Viking Global Investors. Doubling down on their investment, we have also established a new channel partnership with Accenture to further fuel organizations embedding and scaling market intelligence into their core agentic workflows. The era of fragmented tools in market intelligence has given way to a more integrated approach with the advent of AI and that's why we are also announcing the launch of SuperAnalyst. AI prompts and queries are the workflow most analysts know today but now multi-step research and monitoring tasks can be automated on the user's behalf. These announcements are more than just momentous milestones: they are an inflection point for the future of market intelligence. We couldn't be more excited to keep building it.

AlphaSense

36,338 views • 3 months ago